King County GIS data is at: https://gis-kingcounty.opendata.arcgis.com/ (new KCGIS Open Data site) OR http://www5.kingcounty.gov/gisdataportal/ (legacy KCGIS data FTP download portal)
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This page contains the help documentation for the GIS Open Data Portal. Refer to https://gisdata-csj.opendata.arcgis.com/pages/help.
Link to King County GIS Center Open Data site. Provides access to browse and download from hundreds of enterprise data sets. Includes links to other data sources including legacy FTP Download Portal
ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
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Displacement risk indicator showing the distribution of renter households and renter units between different income brackets, covering the entire city from 2006 to the most recent year of data available.
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Content provided in this feature is presented as points. These points help visualize the locations of Tempe's diverse collection of permanent and temporary public art. Tempe Public Art promotes artistic expression, bringing people together to strengthen Tempe's sense of community and place. Additional Information:Source: City of TempeContact (author): Contact E-Mail (author): Contact (maintainer): Contact E-Mail (maintainer): Data Source Type: ArcGIS Feature LayerPreparation Method: Data are updated in ArcGIS OnlinePublish Frequency: OngoingPublish Method: Automatically as data are editedData Dictionary (pending update)
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City of Tempe Open Data Terms of Use document includes:Terms of UseData Rights and UsageSecondary UseRight to LimitChangesModeration NoticeDisclaimer of WarrantiesLimitations on LiabilityNo Waiver Rights
This web map features a vector basemap of OpenStreetMap (OSM) data created and hosted by Esri. Esri produced this vector tile basemap in ArcGIS Pro from a live replica of OSM data, hosted by Esri, and rendered using a creative cartographic style emulating a blueprint technical drawing. The vector tiles are updated every few weeks with the latest OSM data. This vector basemap is freely available for any user or developer to build into their web map or web mapping apps.OpenStreetMap (OSM) is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project and is excited to make this new vector basemap available available to the OSM, GIS, and Developer communities.
This dataset comes from the Annual Community Survey questions about satisfaction with Community Service Programs. The Community Survey question relating to the Community Services Programs performance measure: "Please rate your level of satisfaction with each of the following: a) Quality of Before & After School (Kid Zone) programs; b) Quality of City library programs & services; c) Quality of City recreation programs & services; d) Quality of Tempe Center for the Arts programs." Respondents are asked to rate their satisfaction level on a scale of 5 to 1, where 5 means "Very Satisfied" and 1 means "Very Dissatisfied" (responses of "don't know" are excluded).The survey is mailed to a random sample of households in the City of Tempe and has a 95% confidence level.This page provides data for the Community Services Programs performance measure.The performance measure dashboard is available at 3.17 Community Services Programs.Note: Kid Zone is being removed from the measure as it no longer resides in Community Services.Additional InformationSource: Community Attitude Survey (Vendor: ETC Institute)Contact: Wydale HolmesContact E-Mail: wydale_holmes@tempe.govData Source Type: Excel and PDF ReportPreparation Method: Extracted from Annual Community Survey resultsPublish Frequency: AnnualPublish Method: ManualData Dictionary
The Digital Geologic-GIS Map of John Muir National Historic Site and Vicinity, California is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (jomu_geology.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google The Digital Geohazards-GIS Map of John Muir National Historic Site and Vicinity, California is composed of GIS data layers and GIS tables, and is available in the following GRI-supported GIS data formats: 1.) a 10.1 file geodatabase (jomu_geohazard.gdb), a 2.) Open Geospatial Consortium (OGC) geopackage, and 3.) 2.2 KMZ/KML file for use in Google Earth, however, this format version of the map is limited in data layers presented and in access to GRI ancillary table information. The file geodatabase format is supported with a 1.) ArcGIS Pro map file (.mapx) file (jomu_geohazard.mapx) and individual Pro layer (.lyrx) files (for each GIS data layer), as well as with a 2.) 10.1 ArcMap (.mxd) map document (jomu_geohazard.mxd) and individual 10.1 layer (.lyr) files (for each GIS data layer). The OGC geopackage is supported with a QGIS project (.qgz) file. Upon request, the GIS data is also available in ESRI 10.1 shapefile format. Contact Stephanie O'Meara (see contact information below) to acquire the GIS data in these GIS data formats. In addition to the GIS data and supporting GIS files, three additional files comprise a GRI digital geologic-GIS dataset or map: 1.) A GIS readme file (jomu_geology_gis_readme.pdf), 2.) the GRI ancillary map information document (.pdf) file (jomu_geology.pdf) which contains geologic unit descriptions, as well as other ancillary map information and graphics from the source map(s) used by the GRI in the production of the GRI digital geologic-GIS data for the park, and 3.) a user-friendly FAQ PDF version of the metadata (jomu_geohazard_metadata_faq.pdf). Please read the jomu_geology_gis_readme.pdf for information pertaining to the proper extraction of the GIS data and other map files. Google Earth software is available for free at: https://www.google.com/earth/versions/. QGIS software is available for free at: https://www.qgis.org/en/site/. Users are encouraged to only use the Google Earth data for basic visualization, and to use the GIS data for any type of data analysis or investigation. The data were completed as a component of the Geologic Resources Inventory (GRI) program, a National Park Service (NPS) Inventory and Monitoring (I&M) Division funded program that is administered by the NPS Geologic Resources Division (GRD). For a complete listing of GRI products visit the GRI publications webpage: For a complete listing of GRI products visit the GRI publications webpage: https://www.nps.gov/subjects/geology/geologic-resources-inventory-products.htm. For more information about the Geologic Resources Inventory Program visit the GRI webpage: https://www.nps.gov/subjects/geology/gri,htm. At the bottom of that webpage is a "Contact Us" link if you need additional information. You may also directly contact the program coordinator, Jason Kenworthy (jason_kenworthy@nps.gov). Source geologic maps and data used to complete this GRI digital dataset were provided by the following: California Department of Conservation, Division of Mines and Geology. Detailed information concerning the sources used and their contribution the GRI product are listed in the Source Citation section(s) of this metadata record (jomu_geohazard_metadata.txt or jomu_geohazard_metadata_faq.pdf). Users of this data are cautioned about the locational accuracy of features within this dataset. Based on the source map scale of 1:24,000 and United States National Map Accuracy Standards features are within (horizontally) 12.2 meters or 40 feet of their actual location as presented by this dataset. Users of this data should thus not assume the location of features is exactly where they are portrayed in Google
This dataset depicts change in groundwater level at selected monitoring locations (wells) between two specified years, by season. Change values represent change in groundwater level (elevation) by year and season (fall or spring). Other information on the monitoring location is also included. Positive values indicate groundwater has risen (groundwater surface elevation has increased) from the early year to the late year, while negative values indicate groundwater level surface has fallen (decreased in elevation ) from the early year to the late year. Water level monitoring locations and measurements used are selected based on measurement date and well construction information, where available, and approximate groundwater levels in the unconfined to uppermost semi-confined aquifers.
Dog Off-Leash Areas.Refresh Cycle: WeeklyFeature Class: DPR.DogOLA
ArcGIS and QGIS map packages, with ESRI shapefiles for the DSM2 Model Grid. These are not finalized products. Locations in these shapefiles are approximate.
Monitoring Stations - shapefile with approximate locations of monitoring stations.
7/12/2022: The document "DSM2 v8.2.1, historical version grid map release notes (PDF)" was corrected by removing section 4.4, which incorrectly stated that the grid included channels 710-714, representing the Toe Drain, and that the Yolo Flyway restoration area was included.
Link to the GIS Open Data site for Minnehaha County, South Dakota.
The i12_InflowData dataset is a point feature class containing 33 point locations representing approximate reservoir inflow locations. Spatial references were developed during the Water Storage Investment Program (WSIP) climate change study conducted in 2016. A related table of timeseries data is provided that corresponds to each of these point locations. Timeseries data reflect a simulation period from 10/31/1921 through 9/30/2011.
There is a total of 30,179 groundwater nodes within the C2VSimFG model domain. The model extent conforms to Bulletin 118 boundaries updated in 2003. The grid size was refined in areas of higher groundwater gradient and/or areas that are more critical from a hydrogeologic viewpoint. The average node spacing is 1.5 miles apart and reduces to 0.5 miles along the streams. The grid lines are designed to be parallel to the streamflow direction, when possible, to incorporate the surface drainage patterns. In parallel, the grid lines follow the groundwater streamlines to capture subsurface drainage patterns. Nine major fault systems in the Central Valley are represented by a thin strip of elements.
CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
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Channels, Basins, and Anchorages is a 1:20,000-scale, polygon feature-based layer that includes the location of channels, turning basins, and anchorages within (mostly) Connecticut waters. The layer is derived from information depicted on the 2002 edition of digital National Oceanic & Atmospheric Administration (NOAA) nautical charts, Maptech, Inc. and US Army Corps of Engineers (USACOE) Volume 3 - Rivers & Harbors of Rhode Island and Connecticut Project Maps publication dated Sept 1988. The Channels, Basins, and Anchorages layer was compiled during the summer of 2001. The layer represents conditions at a particular point in time. The layer includes representations of areas of channels, turning basins, and anchorages that are or may be periodically maintained by various entitites for commercial and recreational uses. It does not include all possible/potential such areas, just those identified on the source documents; nor does the layer include any buoys or channel markers designating the bounds or entrances to channels, basins, or anchorages. Features are polygon locations that represent the approximate or assumed location of channels, turning basins, and anchorages. Attribute information is comprised of codes to uniquely identify individual features, encode feature information, and cartographically represent (symbolize) channels, turning basins, and anchorages features on a map. Data is compiled at 1:20,000 scale. This data is not updated.
Channels, Basins, and Anchorages is 1:20,000-scale data. It depicts the location of federal and non-federal channels, basins, and anchorages areas. Use this layer to display the locations of underwater boating/shipping areas in and around Long Island Sound and the waterways of Connecticut. Use this layer with 1:20,000-scale map data such as the 2002 digital National Oceanic & Atmospheric Administration (NOAA) Nautical Charts or with any other 1:24,000 scale DEP natural resource data. Not intended for maps printed at map scales greater or more detailed than 1:20,000 scale (1 inch = 1,666.66 feet.)
This data set is a series of polygons denoting the geologic units mapped in USGS Publication MF-1790, "Geologic Map of the Late Cenozoic Deposits of the Sacramento Valley and Northern Sierran Foothills, California" (Helley and Harwood,1985). This data set was created by scanning the five- original sheets from USGS Publication MF-1790 (Helley and Harwood, 1985), the five sheets were georeferenced individually and the geologic information was digitized using AutoCAD 2006. The accuracy of the digitized lines was deemed to be within acceptable error tolerances, with the digitized lines accurately matching the original drafted lines in USGS Publication MF-1790 (Helley and Harwood, 1985). In general, the width of the contact lines on the paper copy, accounting for scale, ranged up to about 20 meters (66 feet). During the original digitization, minor topological mistakes (such as identical rock units on both sides of a lithologic contact or unclosed polygons) and omissions (such as unidentified lithologic units) were applied according to the best available knowledge. Comparisons were made between the original mylar and colorized field sheets (as available), in addition to the Geologic Map of the Battle Creek Fault Zone, Northern Sacramento Valley, California (USGS Map MF-1298, 1981), the Geologic Map of the Chico Monocline and Northeastern Part of the Sacramento Valley, California (USGS Miscellaneous Investigations Series Map I-1238, 1981), the Geologic Map of the Red Bluff 30' X 60' Quadrangle, California (USGS Geologic Investigation Series Map I-2542, 1995), and the Geologic Map of the Whitmore Quadrangle, California (Geologic Quadrangle Map GQ-993) . The correlation and description of geologic units were excerpted from USGS Publication MF-1790m (Helley and Harwood, 1985).
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Data Coordinator Step-by-Step Guide includes:Step 1. Data spreadsheet Step 2. Complete a Dataset Inventory for each new dataset Step 3. Evaluate and Prioritize data for publication Step 4. Review security and privacy criteria Step 5. Prepare Metadata Step 6. Prepare Data Dictionary Step 7. Data Upload Step 8. Service Ticket update
This data is no longer being actively updated. The dataset is deprecated and will be removed from the Portal within the next three months. If you have any questions, please reach out to the Open Data team by filling out the following Contact Us form: https://louisvilleky.wufoo.com/forms/open-data-contact-form/ The Community Services division encompasses the client-based services including Neighborhood Place, Community Action Partnership, Self-Sufficiency Services, and Outreach & Advocacy.
DO NOT DELETE OR MODIFY THIS ITEM. This application helps run the ArcGIS Hub Page that the Open Data Portal is on. This item is managed by the Open Data application. To make changes to this site, please visit https://data-syr.opendata.arcgis.com/
King County GIS data is at: https://gis-kingcounty.opendata.arcgis.com/ (new KCGIS Open Data site) OR http://www5.kingcounty.gov/gisdataportal/ (legacy KCGIS data FTP download portal)